Connect AI to LINE Rich Menu Studio
Let ChatGPT, Codex, or another MCP client read LINE constraints, generate grids, validate JSON, and find overlapping areas without giving the AI a Channel access token.
https://richmenustudio.com/mcpOnline • No API key requiredConnect in three steps
- Add an MCP server
In ChatGPT desktop or Codex, open Settings → MCP servers → Add server and choose Streamable HTTP.
- Enter the endpoint
Name it line-rich-menu-studio and use https://richmenustudio.com/mcp.
- Save and restart
Open the MCP server list, confirm that four tools are available, then ask in natural language.
Configure Codex with config.toml
Add this to ~/.codex/config.toml or a trusted project's .codex/config.toml, then restart Codex.
[mcp_servers.line_rich_menu_studio]
url = "https://richmenustudio.com/mcp"Remote HTTP MCP clients
Clients using the mcpServers JSON shape can connect directly with this configuration.
{
"mcpServers": {
"line-rich-menu-studio": {
"url": "https://richmenustudio.com/mcp"
}
}
}STDIO-only clients
Use mcp-remote as a bridge to the remote endpoint. Node.js and npx are required.
{
"mcpServers": {
"line-rich-menu-studio": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://richmenustudio.com/mcp"]
}
}
}Try this prompt
Create a 2500 × 1686 LINE Rich Menu with a 2 by 2 grid and message actions, then validate the definition and check for overlapping areas.
Tools available to AI
Every tool is deterministic, stateless, and read-only with respect to LINE.
get_line_rich_menu_speccreate_rich_menu_gridvalidate_rich_menufind_overlapping_areas